Transcriptome Profiling Reveals Molecular Players in Early Soybean–<i>Sclerotinia sclerotiorum</i> Interaction
Bibliographic record
Abstract
Sclerotinia sclerotiorum causes Sclerotinia stem rot on soybean. Using RNA sequencing, the transcriptomes of the soybean host and the S. sclerotiorum pathogen were simultaneously determined at 4 and 8 h postinoculation (hpi). Two soybean genotypes were involved: a resistant oxalate oxidase (OxO)-transgenic line and its susceptible parent, AC Colibri (AC). Of the 594 genes that were significantly induced by S. sclerotiorum, both hosts expressed genes related to jasmonic acid, ethylene, oxidative burst, and phenylpropanoids. In all, 36% of the differentially expressed genes encoded genes associated with transcription factors, ubiquitination, or general signaling transduction such as receptor-like kinases, mitogen-activated protein kinase kinases, and hormones. No significant differentially expressed genes were identified between genotypes, suggesting that oxalic acid (OA) did not play a differential role in early disease development or primary lesion formation under the conditions used. Looking at pathogen behavior through its gene expression during infection, thousands of genes in S. sclerotiorum were induced at 8 hpi, compared with expression in culture. Many plant cell-wall-degrading enzymes (PCWDEs), sugar transport genes, and genes involved in secondary metabolism were upregulated and could contribute to early pathogenesis. When infecting the OxO plants, there was a higher induction of genes encoding OA, botcinic acid, PCWDEs, proteases, and potential effectors, revealing the wealth of virulence factors available to this pathogen as it attempts to colonize a host. Data presented identify hundreds of genes associated with the very early stages of infection for both the host and pathogen.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".